Research On Optimal Scheduling Of Comprehensive Energy Intervals Considering Supply And Demand-side Game Equilibrium

With the development of computers and internet,as well as the advancement of energy supply and storage technologies,more and more users will use distributed energy stations to obtain cold/heat/electricity terminal energy consumption.When a large number of energy stations are connected to a wide-area integrated energy system,it will bring certain challenges to autonomous and coordinated energy dispatching systems.Therefore,the uncertainty of distributed energy coordination scheduling and energy trading market equilibrium mechanism must be considered.It will become an important content of future integrated energy system research.This thesis studies the combined and integrated energy system.The main tasks are as follows:Firstly,the system structure of the combined heat and power station is explained.The primary side of the energy station has electricity,heat and gas;the station contains a variety of energy conversion equipment.The secondary side is connected to users of cold and heat power.Interval method is used to describe the uncertainty of renewable energy and load in the station.The day-to-day interval scheduling model for cold and heat power stations is established,and the model is solved using the two-stage decomposition algorithm of interval linear programming.The example shows the balance of hot and cold energy of the energy station under uncertainty,and analyzing the impact of the size of the uncertainty interval on the systems economy and the effect of time-varying electricity prices.The results show that the increase in the uncertainty interval between source and load will also lead to a larger cost interval.At the same time,multi-energy complementary energy stations can quickly respond to changes in the purchase price,and allocate multiple energy sources so as to optimize operation.Secondly,on the basis of the combined heat,power and power station model,a wide area integrated energy system model is established.The system consists of a combined electric-heating system,a natural gas station and multiple energy stations.A method of target cascade is proposed to realize the dispatching between the electric heating system and each energy station.The influence of the uncertainty of the wind power forecasting on the coordination between the supply and demand sides of the system is analyzed through an example.The results show that the distributed dispatch of coordination can better coordinate both sides of the supply and demand,besides,improving the efficiency of multi-energy conversion and peak cutting.However,this can promote the dissipation of wind power so as to ensure the system operation safely and economically.Finally,on the basis of the wide-area integrated energy system,a pricing space on the supply side and a purchase strategy on the demand side are proposed as decision-making spaces.The supply-side electric heating system and a natural gas station is the leader,the demand-side energy stations are followers.It form a master-slave game model.The model conversion and fixed-point iterative algorithm are used to solve the master-slave game model.The price and supply-demand interval equilibrium and the output of the unit are analyzed through an example.The results show that the overall system economy is optimal in the target cascade scheduling scenario,and the energy-supply side benefit is higher in the game scheduling scenario.